Health Data Analytics Engineer

Summary

Join our team as a Health Data Analytics Engineer and contribute to developing, maintaining, and testing data models for our healthcare analytics products. You will work on cutting-edge data modeling techniques, improve data processes, and contribute to the success of our healthcare AI products.

Requirements

• 3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data
• Very well-versed in SQL and ETL processes, significant experience in dbt is a must
• Experience in a general purpose programming language (Python, Java, Scala, Ruby, etc.)
• Strong experience in data modeling and their implementation in production data pipelines
• Comfortable with the essentials of data orchestration

Responsibilities

• Designing, developing, and maintaining dbt data models that support our healthcare analytics products
• Integrating and transforming customer data to conform our data specifications and pipelines
• Collaborating with cross-functional teams to understand data requirements and translate them into effective data models
• Configuring and improving data pipelines that integrate and connect the data models
• Conducting QA and testing on data models to ensure data accuracy, reliability, and performance
• Applying industry standards and best practices around data modeling, testing, and data pipelining
• Participating in a rota with other data engineers and backend engineers to help investigate and resolve data related issues

Benefits

• Medical/dental/vision benefits
• 401k
• Free One Medical membership
• Parental leave